TL;DR: The difference between a mediocre AI image and a professional one comes down to three factors: a well-structured prompt, the right tool for your use case, and a willingness to iterate. You don't need technical experience — you need to know how to speak to the model.
Why Prompting Is Key (Not Just the Tool)
One of the most common mistakes when starting with AI image generators is blaming the tool when the result is bad. In most cases, the problem lies in the prompt.
A bad prompt: "a pretty woman on the beach"
A good prompt: "portrait of a 30-year-old woman on a Mediterranean beach at golden hour, light summer dress, candid photography, shallow depth of field, Canon 85mm, photorealistic"
The level of detail you provide to the model directly determines the quality of the result. Today's models are extraordinarily capable — but they need clear instructions.
The Structure of the Perfect Prompt
There is a proven formula that works across Midjourney, DALL-E 3, and Stable Diffusion. It's not rigid, but it gives you a solid foundation:
[SUBJECT] + [STYLE] + [LIGHTING] + [CAMERA/PERSPECTIVE] + [MOOD]
Subject
Describe precisely what you want to see. Include age, gender, action, clothing, and expression if it's a character. If it's an object, specify materials, color, and shape.
Example: "a vintage blue ceramic coffee cup with rising steam"
Style
This is the most impactful parameter. It defines the visual language of the output. High-impact values include:
photorealistic/cinematic photography→ for realismconcept art/digital painting→ for digital artwatercolor illustration/oil painting→ for artistic stylesminimalist flat design/isometric illustration→ for graphic designproduct photography→ for e-commerce
Lighting
Lighting completely transforms an image. Useful terms:
golden hour→ warm, dramatic light at sunsetsoft box lighting→ diffused studio lightneon lighting→ urban night environmentbacklit/silhouette→ dramatic backlightingnatural light/window light→ soft interior light
Camera and Perspective
Adding photographic references immediately elevates the quality:
shot on Canon 5D,Hasselblad medium format85mm portrait lens,wide-angle 24mmshallow depth of field,bokehbird's eye view,close-up,wide shot
Mood and Atmosphere
The final words you add to the prompt affect the general feeling:
cinematic,dramatic,ethereal,moodycozy,minimalist,high contrast8k,hyperdetailed,professional
5 Specific Image Types and Prompts
1. Photorealism (Portraits and People)
professional portrait of a 40-year-old man, architect,
wearing a white linen shirt, Barcelona studio,
natural window light from the left,
Canon 85mm f/1.4, shallow depth of field,
confident expression, photorealistic
Key Tip: Always specify the approximate age and type of light. Without these two pieces of data, results are unpredictable.
2. Concept Art (Fantasy, Sci-Fi, Worldbuilding)
ancient underwater city, bioluminescent coral towers,
schools of exotic fish, god rays from the surface,
concept art style, detailed, cinematic composition,
matte painting, 8k resolution
Key Tip: Add concept art or matte painting for that movie or video game pre-production finish.
3. Marketing and Product (E-commerce, Ads)
minimalist product photography, premium skincare serum bottle,
marble surface, fresh eucalyptus leaves as props,
studio lighting with soft shadows,
white background, commercial photography, ultra-detailed
Key Tip: white background or studio setup keeps the focus on the product. Add prop materials to provide context.
4. Illustration (Books, Content, Social Media)
cozy reading nook illustration,
girl with red hair reading a book,
autumn leaves outside the window,
warm candlelight, flat design,
Scandinavian illustration style, soft pastel colors
Key Tip: Geographic styles or art movements (Scandinavian, Japanese, Bauhaus) are highly efficient signals for the model.
5. UI and Web (Mockups, Hero Images)
mobile app UI screenshot,
fitness tracking dashboard, dark mode,
clean modern design,
data visualization charts,
gradient purple to blue,
professional mockup on iPhone 15 Pro
Key Tip: For UI, always include the device and the color mode. Clean, modern, and minimal are your best friends.
Advanced Tricks for Intermediate Users
Parameter Weights (Midjourney)
In Midjourney, you can give more or less importance to parts of the prompt using :::
sunset landscape::2 mountains::1 snow — the sunset will have twice the weight of the mountains.
To exclude elements: --no text, watermark, blur
Image References
Most tools allow you to use an image as a style reference:
- In Midjourney: drag the image into the chat and use its URL as part of the prompt
- In DALL-E 3: attach the image in the ChatGPT chat
- In Stable Diffusion: use img2img or ControlNet to maintain composition
Negative Prompts
In Stable Diffusion, negative prompts are essential:
Negative: blurry, low quality, ugly, deformed, extra limbs, watermark, text
In Midjourney, use --no [elements to avoid] at the end of the prompt.
Systematic Iteration
The most effective method is not changing the entire prompt at once. Change a single element, compare the result, and keep adjusting. Think of it as a conversation, not a single command.
Recommended Tools by Use Case
| Use Case | Recommended Tool | Why |
|---|---|---|
| Art & Creativity | Midjourney v7 | Unmatched artistic quality |
| Text Integration/ChatGPT | DALL-E 3 | Conversational prompting |
| Images with Text | Ideogram | Specialized in typography |
| Total Technical Control | Stable Diffusion | Unlimited parameters |
| Non-technical Designers | Canva AI | Integrated into design workflow |
| Zero Budget | Adobe Firefly / Leonardo AI | Generous free tier |
Common Beginner Mistakes
Prompts that are too short: "a futuristic city" will produce something generic. Add 8-12 specific descriptors.
Mixing contradictory styles: "photorealistic and anime style" generates inconsistent results. Choose a dominant visual language.
Ignoring lighting: This is the factor that changes the final result the most. Always specify the light source.
Not iterating: The first generation is rarely the final one. Use variations, regenerate, adjust.
Forgetting the aspect ratio: By default, most tools generate square (1:1) images. If you need a banner (16:9) or an Instagram post (4:5), specify it from the start.
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Frequently Asked Questions
Do prompts in other languages work as well as in English? Generally, English still yields more consistent results in tools like Midjourney because their models were trained predominantly on English data. DALL-E 3 has better multilingual understanding. My practical recommendation: describe the subject in your native language if preferred, but use English terms for style and lighting.
How many iterations are normal before getting a good result? It depends on the type of image and your standards. For a commercial marketing image, expect 5-15 iterations. For concept art, it might be 3-5. For precise photorealism, sometimes more than 20. The key is to change one element at a time to understand what works.
Is there a way to keep the same character consistent across multiple images?
Yes. Midjourney v7 has the --cref (character reference) feature that maintains facial consistency between generations. Stable Diffusion with a LoRA trained on specific photos also achieves this. DALL-E 3 has more limited options in this area. For projects requiring consistent characters, Midjourney Pro is currently the most practical option.